Pinned Repositories
3d-mri-brain-tumor-segmentation-using-autoencoder-regularization
Keras implementation of the paper "3D MRI brain tumor segmentation using autoencoder regularization" by Myronenko A. (https://arxiv.org/abs/1810.11654).
3D_RFUltrasound_Reconstruction
3D Volume Reconstruction of Raw Ultrasound Radiofrequency Data
AD_Prediction
毕业设计项目-基于深度学习的阿兹海默症早期诊断辅助系统设计与实现
Ai-Learn
人工智能学习路线图，整理近200个实战案例与项目，免费提供配套教材，零基础入门，就业实战！包括：Python，数学，机器学习，数据分析，深度学习，计算机视觉，自然语言处理，PyTorch tensorflow machine-learning,deep-learning data-analysis data-mining mathematics data-science artificial-intelligence python tensorflow tensorflow2 caffe keras pytorch algorithm numpy pandas matplotlib seaborn nlp cv等热门领域
Aiwenbeauty
ant-back
:rocket: react后台，后台管理系统
Approximate-2D-RF-Imaging
This repository is for imaging by inverse reconstruction of the image by received RF signal using different methods: Compressed sensing, Maximum Entropy, and Total Variation. The data generated here is using ray-tracing based models, not as accurate as CST simulation generated data.
awesome-zero-shot-learning
A curated list of papers, code and resources pertaining to zero shot learning
brain-segmentation
Deep learning based skull stripping and FLAIR abnormality segmentation in brain MRI using U-Net
ML-NLP
此项目是机器学习(Machine Learning)、深度学习(Deep Learning)、NLP面试中常考到的知识点和代码实现，也是作为一个算法工程师必会的理论基础知识。
Aiwenbeauty's Repositories
Aiwenbeauty/ML-NLP
此项目是机器学习(Machine Learning)、深度学习(Deep Learning)、NLP面试中常考到的知识点和代码实现，也是作为一个算法工程师必会的理论基础知识。
Aiwenbeauty/3d-mri-brain-tumor-segmentation-using-autoencoder-regularization
Keras implementation of the paper "3D MRI brain tumor segmentation using autoencoder regularization" by Myronenko A. (https://arxiv.org/abs/1810.11654).
Aiwenbeauty/awesome-zero-shot-learning
A curated list of papers, code and resources pertaining to zero shot learning
Aiwenbeauty/brain-segmentation-pytorch
U-Net implementation in PyTorch for FLAIR abnormality segmentation in brain MRI
Aiwenbeauty/clash
A rule-based tunnel in Go.
Aiwenbeauty/CovidPrognosis
COVID deterioration prediction based on chest X-ray radiographs via MoCo-trained image representations
Aiwenbeauty/CS-Notes
:books: 技术面试必备基础知识、Leetcode、计算机操作系统、计算机网络、系统设计
Aiwenbeauty/dask-cuda
Utilities for Dask and CUDA interactions
Aiwenbeauty/deep-learning-for-image-processing
deep learning for image processing including classification and object-detection etc.
Aiwenbeauty/DROID-SLAM
Aiwenbeauty/Dual-awareness-Attention-for-Few-shot-Object-Detection
Aiwenbeauty/face_recognition
The world's simplest facial recognition api for Python and the command line
Aiwenbeauty/heimalearn1
python基础
Aiwenbeauty/hub
Submission to https://pytorch.org/hub/
Aiwenbeauty/langchain
⚡ Building applications with LLMs through composability ⚡
Aiwenbeauty/langchain-ChatGLM
langchain-ChatGLM, local knowledge based ChatGLM with langchain ｜ 基于本地知识库的 ChatGLM 问答
Aiwenbeauty/LLMSurvey
The official GitHub page for the survey paper "A Survey of Large Language Models".
Aiwenbeauty/MedicalZooPytorch
A pytorch-based deep learning framework for multi-modal 2D/3D medical image segmentation
Aiwenbeauty/mllearn01
机器学习相关代码
Aiwenbeauty/Neo4j-KGBuilder
Neo4j+springboot+vue+d3.js知识图谱构建和可视化
Aiwenbeauty/PaddleHub
Awesome pre-trained models toolkit based on PaddlePaddle.(300+ models including Image, Text, Audio and Video with Easy Inference & Serving deployment)
Aiwenbeauty/pafd-automated
Aiwenbeauty/pytorch-cifar
95.47% on CIFAR10 with PyTorch
Aiwenbeauty/PyTorch-Encoding
A CV toolkit for my papers.
Aiwenbeauty/PyTorch-GAN
PyTorch implementations of Generative Adversarial Networks.
Aiwenbeauty/pytorch-grad-cam
Advanced AI Explainability for computer vision. Support for CNNs, Vision Transformers, Classification, Object detection, Segmentation, Image similarity and more.
Aiwenbeauty/Rasa_NLU_Chi
Turn Chinese natural language into structured data 中文自然语言理解
Aiwenbeauty/Train_Custom_Dataset
标注自己的数据集，训练、评估、测试、部署自己的人工智能算法
Aiwenbeauty/yolov5-gradcam
Visualizing Yolov5's layers using GradCam
Aiwenbeauty/yolov9
Implementation of paper - YOLOv9: Learning What You Want to Learn Using Programmable Gradient Information